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Power of Unikernels and Linux Graphics

Filed under
Graphics/Benchmarks
Linux
  • Unikraft: Unleashing the Power of Unikernels

     The team at NEC Laboratories Europe spent quite a bit of time over the last few years developing unikernels – specialized virtual machine images targeting specific applications. This technology is fascinating to us because of its fantastic performance benefits: tiny memory footprints (hundreds of KBs or a few MBs), boot times compared to those of processes or throughput in the range of 10-40 Gb/s, among many other attributes. Specific metrics can be found in these articles: “My VM is Lighter (and Safer) than your Container,” “Unikernels Everywhere: The Case for Elastic CDNs,” and “ClickOS and the Art of Network Function Virtualization.”

    The potential of unikernels is great (as you can see from the work above), but there hasn’t been a massive adoption of unikernels. Why? Development time.  For example, developing Minipython, a MicroPython unikernel, took the better part of three months to put together and test. ClickOS, a unikernel for NFV, was the result of a couple of years of work.

  • First Batch Of AMDGPU Changes For Linux 4.16: DC Multi-Display Sync, Vega Tuning

    Alex Deucher of AMD sent in today their first batch of feature updates for Radeon/AMDGPU/TTM feature code for DRM-Next, which has already been queued, and will in turn land next year with the Linux 4.16 kernel.

  • Samsung Improving Cairo's OpenGL ES 3.x Support, May Eye Vulkan In Future

    Back in September there were developers from Samsung's Open-Source Group adding initial OpenGL ES 3.0 support to Cairo. The GLESv3 upbringing in Cairo is still ongoing and not yet fully vetted, but Bryce Harrington of Samsung OSG has now blogged about this effort.

    While there is the initial support for creating an OpenGL ES 3.0 context with Cairo, as Bryce explains in his new blog post, the work on GLES 3.0 for Cairo isn't complete. Additional code is still to be written to leverage new GLES3 functionality and they originally started writing this code for their Tizen platform.

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